127818 20260217205511.0 doi 10.1016/j.ijhydene.2023.06.019 sideral 134874 ART-2024-134874 eng Martínez Alonso, A. Multi-state optimal power dispatch model for power-to-power systems in off-grid hybrid energy systems: A case study in Spain 2024 Access copy available to the general public Unrestricted The electricity production from Renewable Energy (RE) in isolated locations requires long-term energy storage systems. To that end, Hybrid Energy Storage Systems (HESS), through a combination of hydrogen and batteries, can benefit from the different advantages of both technologies. This paper presents a hybrid Power-to-Power (PtP) Optimal Power Dispatch (OPD) model for isolated systems with no electric grid access. Currently, the electricity supply in such cases is usually based on a mix of RE as the primary energy source sustained by a diesel genset acting as a backup generator. In this context, the model delivers the hourly energy flows between renewable production sources, energy storage devices and the electrical load, which minimises costs and Green House Gases (GHG) emissions. For validation purposes, the model was tested through its application to a case study in an isolated area in the Canary Islands, Spain. The results show that the algorithm calculates the hourly OPD successfully for a given plant sizing, considering the defined operational states of the different assets. These operational constraints showed a decrease in the PtP round-trip efficiency of 5.4% and a reduction of the hydrogen production of 9.7%. Finally, the techno-economic analysis of the results proves that the combination of hydrogen and batteries with RE production is a feasible alternative to phasing out fossil fuels for the selected case study – reducing the diesel generator usage down to 1.2% of the yearly energy supply. info:eu-repo/grantAgreement/EC/H2020/779541/EU/Remote area Energy supply with Multiple Options for integrated hydrogen-based TEchnologies/REMOTE This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 779541-REMOTE info:eu-repo/semantics/openAccess by https://creativecommons.org/licenses/by/4.0/deed.es 8.3 2024 CHEMISTRY, PHYSICAL 40 / 185 = 0.216 2024 Q1 T1 ENERGY & FUELS 39 / 182 = 0.214 2024 Q1 T1 ELECTROCHEMISTRY 6 / 44 = 0.136 2024 Q1 T1 1.685 2024 Condensed Matter Physics 2024 Q1 Renewable Energy, Sustainability and the Environment 2024 Q1 Fuel Technology 2024 Q1 Energy Engineering and Power Technology 2024 Q1 13.3 2024 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Matute, G. Yusta, J.M. Universidad de Zaragoza (orcid)0000-0003-3174-9703 Coosemans, T. 5009 535 Universidad de Zaragoza Dpto. Ingeniería Eléctrica Área Ingeniería Eléctrica 52, A (2024), 1045-1061 Int. j. hydrogen energy International Journal of Hydrogen Energy 0360-3199 3335826 http://zaguan.unizar.es/record/127818/files/texto_completo.pdf Versión publicada 2377454 http://zaguan.unizar.es/record/127818/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:127818 articulos driver 2026-02-17-20:25:21 ARTICLE